性质解析和新化学合成的线性计算QSPR

E. Ibezim, P. Duchowicz, N. Ibezim, E. Castro
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引用次数: 0

摘要

QSPR是计算化学的主要领域之一,是指将化合物的化学结构与其物理化学性质相关联的过程。为了实现这一目标,它采用了广泛的计算程序和计算机软件,包括DRAGON, MATLAB, HYPERCHEM和RECKON。首先产生实验数据,然后推导出模型或方程,这些模型或方程现在有助于预测性质迄今未知的已知或未知化合物的性质。它是一个非常有用的工具,在寻找新的物理化学性质,如熔点,沸点,自由能,活化能,分配系数,扩散系数等改进的新化合物。
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Linear computational QSPR for property elucidation and new chemical synthesis
QSPR constitutes one of the major areas within computational chemistry and refers to the process of correlating chemical structure of compounds with their physicochemical properties. To achieve this, it employs a wide range of computational programmes and computer softwares including DRAGON, MATLAB, HYPERCHEM and RECKON. Experimental data are first generated from which models or equations are derived that now help to predict the properties of known or unknown compounds whose properties are hitherto unknown. It is a very useful tool in the search for new compounds with improved physicochemical properties like melting point, boiling point, free energy, activation energy, partition coefficient, diffusion coefficient and the like.
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